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Just Use Distributions: Eliminating The Noise of Sampling-Based Fitness Estimation

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posted on 05.10.2020 by zhenyue Qin, Tom Gedeon, Robert McKay
This paper uses distributional analysis to disentangle the effects of fitness landscape and stochasticity in Wagner's Gene Regulatory Network Based evolutionary scenario. Further advantages of the analysis include the ability to accurately identify global optima and potential extensions to approximate the distributional fitness more accurately than stochastic sampling at lower computational cost.
This is an inital draft, and will be updated as further content is written.

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Email Address of Submitting Author

rimanucs@gmail.com

Submitting Author's Institution

Australian National University

Submitting Author's Country

Australia

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